Project Management Information System (PMIS) Data Engineer - (Term-Limited)
Company: SoundTransit
Location: Seattle
Posted on: May 3, 2025
Job Description:
DescriptionSalary range is $80k to $175k, with a midpoint of
$125k. New hires typically receive between minimum and midpoint,
however, we may go slightly higher based on experience, internal
equity and market.
Sound Transit also offers a competitive with a wide range of
offerings, including:
- Health Benefits: We offer two choices of medical plans, a
dental plan, and a vision plan all at no cost for employee
coverage; comprehensive benefits for employees and eligible
dependents, including a spouse or domestic partner.
- Long-Term Disability and Life Insurance.
- Employee Assistance Program.
- Retirement Plans: 401a - 10% of employee contribution with a
12% match by Sound Transit; 457b - up to IRS maximum (employee only
contribution).
- Paid Time Off: Employees accrue 25 days of paid time off
annually with increases at four, eight and twelve years of service.
Employees at the director level and up accrue additional days. We
also observe 12 paid holidays and provide up to 2 paid floating
holidays and up to 2 paid volunteer days per year.
- Parental Leave: 12 weeks of parental leave for new
parents.
- Pet Insurance.
- ORCA Card: All full-time employees will receive an ORCA card at
no cost.
- Tuition Reimbursement: Sound Transit will pay up to $5,000
annually for approved tuition expenses.
- Inclusive Reproductive Health Support Services.
- Compensation Practices: We offer competitive salaries based on
market rates and internal equity. In addition to compensation and
benefits, you'll find that we provide work-life balance,
opportunities for professional development and recognition from
your colleagues.
This is a term-limited opportunity with an anticipated duration of
2 years.
GENERAL PURPOSE:
Under minimal supervision, the PMIS Data Engineer designs, builds,
tests, and delivers, end-to-end, automated data pipelines over
complex on-premises and off-premises platforms. Automates the
collection of data from multiple source systems containing
structured, semi-structured and unstructured data; integrates,
transforms, organizes, stores, and serves data to data analysts,
data scientists, and other data consumers within the agency
departments. Possesses excellent programming, debugging, testing
and problem-solving skills. Leverages pragmatic data management
practices and principles to ensure coherent movement of data that
are relied upon across the agency as the single source of
truth.
ESSENTIAL FUNCTIONS:The following duties are a representative
summary of the primary duties and responsibilities. Incumbent(s)
may not be required to perform all duties listed and may be
required to perform additional, position-specific duties.
- Analyzes business requirements, designs, and implements
enterprise-class data solutions for new data projects.
- Develops and operationalizes data pipelines to make data
available for consumption.
- Owns the design, development, and ongoing maintenance of data
warehouses, data marts, multidimensional cubes, and data
lakes.
- Writes complex SQL queries, stored procedures, ETL workflows,
views, temporary tables, and other database objects.
- Utilizes latest data technologies and cloud platforms;
collects, integrates, ingests, transforms, and organizes, and
serves data and information to support data analyses, reporting,
dashboarding and modern analytics across the agency.
- Works in tandem with tech leads, data architects and peer data
engineers to design data pipelines and recommends ongoing
optimization of, data ingestion, data quality, data storage and
orchestration.
- Evaluates existing legacy data solutions, redesigns and
implements modern data infrastructure for robustness and greater
scalability.
- Assists customers with their data related technical issues and
data platform needs.
- Builds analytics tools that ingest data from large disparate
datasets to draw actionable insights into operational efficiencies
and key business performance metrics.
- Identifies ways to improve data reliability and
efficiency.
- Develops automated test scripts to monitor and report on data
quality issues; conducts root cause analyses in response to data
issues and implements cost effective resolutions for data
anomalies.
- Collaborates with the IT Enterprise Architecture team to define
data architecture framework and implement data solutions and
toolsets.
- Provides input into data governance initiatives and influences
the development of sustainable data management and governance
practices across the agency.
- Creates and maintains architecture diagrams, system
documentation, data models, mapping documents, business rules, data
flow diagrams and other design related artifacts.
- Actively participates in architecture design, and code review
sessions with peers, solution architects, consultants, and
vendors.
- Attends professional group meetings; stay abreast of new trends
and innovations in the field of information technology.
- Conducts research and makes recommendations on emerging
technologies, toolsets, applications, and systems, considering
among other factors cost savings, adoption,
standardization/simplification, flexibility, and reuse.
- Troubleshoots and resolves production issues quickly to ensure
system uptime meets service level agreements.
- Performs peer reviews for other data engineer's work.
- Follows agency's data classification policies and procedures
and maintain compliance with established security standards and
best practices.
- Communicates statuses of all assigned tasks clearly and
concisely to the project team, stakeholders, and
management.
- Works cooperatively with coworkers, product managers,
customers, project managers and vendors.
- Champions and models Sound Transit's core values and
demonstrates values-based behaviors in everyday interactions across
the agency.
- Contributes to a culture of diversity, equity and inclusion in
alignment with Sound Transit's Equity & Inclusion Policy.
- It is the responsibility of all employees to follow the Agency
safety rules, regulations, and procedures pertaining to their
assigned duties and responsibilities, which could include systems,
operations, and/or other employees.
- It is the responsibility of all employees to integrate
sustainability into everyday business practices.
- Other duties as assigned.
MINIMUM QUALIFICATIONS:
Education and Experience: Bachelor's degree in Computer Science,
Information Technology, Engineering, or closely related field and
five years of experience in information technology in the areas of
data engineering, business intelligence and analytics; OR an
equivalent combination of education and experience.
Required Knowledge and Skills:
- Basic principles of computer science, database technologies and
information systems.
- Advanced principles, best practices, methods, and techniques
used in data engineering, business intelligence, data management,
data warehousing concepts, data mapping, data modeling, reporting,
analytics, and data science.
- Relational database management systems, NoSQL databases and Big
Data ecosystem.
- Data pipelines, stream processing, Supervisory Control And Data
Acquisition (SCADA) and Internet of Things (IoT).
- Enterprise data catalog, meta-data and master-data concepts and
management.
- Full-stack DevOps engineering with understanding of compute,
network, storage with cost optimized implementations.
- DevOps tools like ADO, Git, Jenkins, Dockers etc.
- Enterprise application systems related to Finance, Human
Resources, Asset Management, Transit Rider Technologies, and other
subject areas as needed.
- Evaluating business requirements and developing information
technology solutions.
- Operational characteristics of a variety of computer and
network systems, applications, hardware, software, and peripheral
equipment, including enterprise business systems.
- Various methods of service delivery including agile and
waterfall.
- Software development life cycle, source code version control
systems, release management, change management, and ITIL processes
(Incident and Change Management).
- Principles, practices, methods, and techniques used in the
installation, troubleshooting, and maintenance of software systems
and applications.
- Quality Assurance techniques and automated testing
practices.
- Principles and practices of project management.
- Pertinent federal, state, and local laws, codes, and
regulations.
- Designing and implementing Business Intelligence/Analytics
platforms using Azure services such as Azure Synapse Analytics,
Azure Data Factory, Azure Data Lake to improve and speed up
delivery of data services.
- Relational Database Management Systems (RDBMS), Microsoft SQL
Server, SQL Server Integration Services (SSIS), SQL Server Analysis
Services (SSAS), and other relevant technologies.
- Message based integration using Kafka and/or Azure Event
Hub
- Logical and physical data modeling for both OLTP and
OLAP.
- Reporting technologies including but are not limited to
Microsoft SQL Server Reporting Services (SSRS), Microsoft Report
Builder, Power BI, Crystal Reports, Business Objects Enterprise,
etc.
- Working knowledge and advanced skills in Excel as a data source
and reporting tool.
- Big Data tools like Spark, MapReduce, Hive, Pig, Oozie,
etc.
- NoSQL solutions like HBase, MongoDB, Cassandra etc.
- Programming using C#, Java, Scala, and Python; scripting using
PowerShell.
- Creating and consuming various data formats such as CSV, XML,
JSON, etc. including using of APIs or web services for data
acquisition.
- Learning new applications, programming languages, development
tools, and technologies quickly.
- Establishing and maintaining effective working relationships
with peers, other department staffs, managements, vendors, outside
agencies, community groups, external business partners and the
public.
- Effective oral and written communication and the ability to
convey technical details to non-technical stakeholders, senior
leadership, and executives both in written and verbal
form.
- Working effectively under pressure, meeting tight deadlines,
and adjusting to changing priorities.
Physical Demands / Work Environment:
- Work is performed in a standard hybrid office
environment.
- Position is responsible for creating visuals such as charts,
graphs, etc; may be subject to seeing.
- Position is occasionally responsible for performing patches
during off hour times including nights and weekends.
- The Agency promotes a safe and healthy work environment and
provides appropriate safety and equipment training for all
personnel as required.
Sound Transit is an equal employment opportunity employer. No
person is unlawfully excluded from employment action based on race,
color, religion, national origin, sex (including gender identity,
sexual orientation and pregnancy), age, genetic information,
disability, veteran status or other protected class.
Equal Opportunity Employer/Protected Veterans/Individuals with
Disabilities
This employer is required to notify all applicants of their rights
pursuant to federal employment laws.
For further information, please review the notice from the
Department of Labor.
Keywords: SoundTransit, Sammamish , Project Management Information System (PMIS) Data Engineer - (Term-Limited), Executive , Seattle, Washington
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